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195M steps of 10-agent CS:GO state → action data (with damage labels), free for research

If you work on imitation learning or multi-agent behaviour: we just released 9,515 bot-played CS:GO matches. Per 16 Hz step for each of ten agents: actions (buttons + mouse), state (pose, health, weapon…) and who-hit-whom damage. 218,768 rounds, ≈3,958 h of play. 14% of the matches also have the te…

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  1. 2026-10-03 15:02 · r/reinforcementlearning
    195M steps of 10-agent CS:GO state → action data (with damage labels), free for research

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